A social license to operate (SLO) is said to result from a complex and sometimes difficult set of negotiations between communities and organizations (NGOs, government, and industry). Each stakeholder group will hold different views about what is important, what is true, and who can or cannot be trusted. This article reviews the contributions made in this special issue on SLO. It also sketches the benefits of applying phronesis, or a practical wisdom-based theorization, of how SLOs can be co-produced.

Ethical decision-making frameworks assist in identifying the issues at stake in a particular setting and thinking through, in a methodical manner, the ethical issues that require consideration as well as the values that need to be considered and promoted. Decisions made about the use, sharing, and re-use of big data are complex and laden with values. This paper sets out an Ethics Framework for Big Data in Health and Research developed by a working group convened by the Science, Health and (...) Policy-relevant Ethics in Singapore Initiative. It presents the aim and rationale for this framework supported by the underlying ethical concerns that relate to all health and research contexts. It also describes a set of substantive and procedural values that can be weighed up in addressing these concerns, and a step-by-step process for identifying, considering, and resolving the ethical issues arising from big data uses in health and research. This Framework is subsequently applied in the papers published in this Special Issue. These papers each address one of six domains where big data is currently employed: openness in big data and data repositories, precision medicine and big data, real-world data to generate evidence about healthcare interventions, AI-assisted decision-making in healthcare, public-private partnerships in healthcare and research, and cross-sectoral big data. (shrink)

The EU offers a suitable milieu for the comparison and harmonisation of healthcare across different languages, cultures, and jurisdictions, which could provide improvements in healthcare standards across the bloc. There are specific ethico-legal issues with the use of data in healthcare research that mandate a different approach from other forms of research. The use of healthcare data over a long period of time is similar to the use of tissue in biobanks. There is a low risk to subjects but it (...) is impossible to gain specific informed consent given the future possibilities for research. Large amounts of data on a subject present a finite risk of re-identification. Consequently, there is a balancing act between this risk and retaining sufficient utility of the data. Anonymising methods need to take into account the circumstances of data sharing to enable an appropriate balance in all cases. There are ethical and policy advantages to exceeding the legal requirements and thereby securing the social licence for research. This process would require the examination and comparison of data protection laws across the trading bloc to produce an ethico-legal framework compatible with the requirements of all member states. Seven EU jurisdictions are given consideration in this critique. (shrink)

BackgroundThe past 10 years have witnessed a significant growth in sharing of health data for secondary uses. Alongside this there has been growing interest in the public acceptability of data sharing and data linkage practices. Public acceptance is recognised as crucial for ensuring the legitimacy of current practices and systems of governance. Given the growing international interest in this area this systematic review and thematic synthesis represents a timely review of current evidence. It highlights the key factors influencing public responses (...) as well as important areas for further research.MethodsThis paper reports a systematic review and thematic synthesis of qualitative studies examining public attitudes towards the sharing or linkage of health data for research purposes. Twenty-five studies were included in the review. The included studies were conducted primarily in the UK and North America, with one study set in Japan, another in Sweden and one in multiple countries. The included studies were conducted between 1999 and 2013. The qualitative methods represented in the studies included focus groups, interviews, deliberative events, dialogue workshops and asynchronous online interviews.ResultsKey themes identified across the corpus of studies related to the conditions necessary for public support/acceptability, areas of public concern and implications for future research. The results identify a growing body of evidence pointing towards widespread general—though conditional—support for data linkage and data sharing for research purposes. Whilst a variety of concerns were raised in cases where participants perceived there to be actual or potential public benefits from research and had trust in the individuals or organisations conducting and/or overseeing data linkage/sharing, they were generally supportive. The studies also find current low levels of awareness about existing practices and uses of data.ConclusionsWhilst the results indicate widespread public support for data sharing and linkage for research purposes, a range of concerns exist. In order to ensure public support for future research uses of data greater awareness raising combined with opportunities for public engagement and deliberation are needed. This will be essential for ensuring the legitimacy of future health informatics research and avoiding further public controversy. (shrink)

Patient advocacy organizations provide patient- and caregiver-oriented education, advocacy, and support services. PAOs are formally organized nonprofit groups that concern themselves with medical conditions or potential medical conditions and have a mission and take actions that seek to help people affected by those medical conditions or to help their families. Examples of PAOs include the American Cancer Society, the National Alliance on Mental Illness, and the American Heart Association. These organizations advocate for, and provide services to, millions of people with (...) physical and mental conditions — such as cancer, mental illness, diabetes, and cardiovascular disease — via their outreach, meetings, counseling, websites, and published materials. A PAO usually seeks to raise public awareness of a disease’s symptoms, risk factors, and treatment options and promotes research to cure or to prevent that disease. (shrink)

Health and Social Justice (Ruger 2009a) developed the ?health capability paradigm,? a conception of justice and health in domestic societies. This idea undergirds an alternative framework of social cooperation called ?shared health governance? (SHG). SHG puts forth a set of moral responsibilities, motivational aspirations, and institutional arrangements, and apportions roles for implementation in striving for health justice. This article develops further the SHG framework and explains its importance and implications for governing health domestically.

Public-private partnerships are established to specifically harness the potential of Big Data in healthcare and can include partners working across the data chain—producing health data, analysing data, using research results or creating value from data. This domain paper will illustrate the challenges that arise when partners from the public and private sector collaborate to share, analyse and use biomedical Big Data. We discuss three specific challenges for PPPs: working within the social licence, public antipathy to the commercialisation of public sector (...) health data, and questions of ownership, both of the data and any resulting intellectual property or products. As a specific example we consider the case of the UK National Health Service providing patient data to Google’s DeepMind AI program to develop a diagnostic app for kidney disease. This article is an application of the framework presented in this issue of ABR. Please refer to that article for more information on how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end. We use four specific values to help analysis these issues: public benefit, stewardship, transparency and engagement. We demonstrate how the Deliberative Framework can support ethical governance of PPPs involving biomedical big data. (shrink)

We conducted focus groups to assess patient attitudes toward research on medical practices in the context of usual care. We found that patients focus on the implications of this research for their relationship with and trust in their physicians. Patients view research on medical practices as separate from usual care, demanding dissemination of information and in most cases, individual consent. Patients expect information about this research to come through their physician, whom they rely on to identify and filter associated risks. (...) In general, patients support this research, but worry that participation in research involving randomization may undermine individualized care that acknowledges their unique medical histories. These findings suggest the need for public education on variation in practice among physicians and the need for a collaborative approach to the governance of research on medical practices that addresses core values of trust, transparency, and partnership. (shrink)

Regulation and governance of medical research is frequently criticised by researchers. In this paper, we draw on Everett Hughes’ concepts of professional licence and professional mandate, and on contemporary sociological theory on risk regulation, to explain the emergence of research governance and the kinds of criticism it receives. We offer explanations for researcher criticism of the rules and practices of research governance, suggesting that these are perceived as interference in their mandate. We argue that, in spite of their complaints, researchers (...) benefit from the institutions of governance and regulation, in particular by the ways in which regulation secures the social licence for research. While it is difficult to answer questions such as: “Is medical research over-regulated?” and “Does the regulation of medical research successfully protect patients or promote ethical conduct?”, a close analysis of the social functions of research governance and its relationship to risk, trust, and confidence permits us to pose these questions in a more illuminating way. (shrink)

Population-level biomedical research offers new opportunities to improve population health, but also raises new challenges to traditional systems of research governance and ethical oversight. Partly in response to these challenges, various models of public involvement in research are being introduced. Yet, the ways in which public involvement should meet governance challenges are not well understood. We conducted a qualitative study with 36 experts and stakeholders using the World Café method to identify key governance challenges and explore how public involvement can (...) meet these challenges. This brief report discusses four cross-cutting themes from the study: the need to move beyond individual consent; issues in benefit and data sharing; the challenge of delineating and understanding publics; and the goal of clarifying justifications for public involvement. The report aims to provide a starting point for making sense of the relationship between public involvement and the governance of population-level biomedical research, showing connections, potential solutions and issues arising at their intersection. We suggest that, in population-level biomedical research, there is a pressing need for a shift away from conventional governance frameworks focused on the individual and towards a focus on collectives, as well as to foreground ethical issues around social justice and develop ways to address cultural diversity, value pluralism and competing stakeholder interests. There are many unresolved questions around how this shift could be realised, but these unresolved questions should form the basis for developing justificatory accounts and frameworks for suitable collective models of public involvement in population-level biomedical research governance. (shrink)

IntroductionInternational sharing of health data opens the door to the study of the so-called ‘Big Data’, which holds great promise for improving patient-centred care. Failure of recent data sharing initiatives indicates an urgent need to invest in societal trust in researchers and institutions. Key to an informed understanding of such a ‘social license’ is identifying the views patients and the public may hold with regard to data sharing for health research.MethodsWe performed a narrative review of the empirical evidence addressing patients’ (...) and public views and attitudes towards the use of health data for research purposes. The literature databases PubMed, Embase, Scopus and Google Scholar were searched in April 2019 to identify relevant publications. Patients’ and public attitudes were extracted from selected references and thematically categorised.ResultsTwenty-seven papers were included for review, including both qualitative and quantitative studies and systematic reviews. Results suggest widespread—though conditional—support among patients and the public for data sharing for health research. Despite the fact that participants recognise actual or potential benefits of data research, they expressed concerns about breaches of confidentiality and potential abuses of the data. Studies showed agreement on the following conditions: value, privacy, risk minimisation, data security, transparency, control, information, trust, responsibility and accountability.ConclusionsOur results indicate that a social license for data-intensive health research cannot simply be presumed. To strengthen the social license, identified conditions ought to be operationalised in a governance framework that incorporates the diverse patient and public values, needs and interests. (shrink)

This paper contends that a research ethics approach to the regulation of health data research is unhelpful in the era of population‐level research and big data because it results in a primary focus on consent (meta‐, broad, dynamic and/or specific consent). Two recent guidelines – the 2016 WMA Declaration of Taipei on ethical considerations regarding health databases and biobanks and the revised CIOMS International ethical guidelines for health‐related research involving humans – both focus on the growing reliance on health data (...) for research. But as research ethics documents, they remain (to varying degrees) focused on consent and individual control of data use. Many current and future uses of health data make individual consent impractical, if not impossible. Many of the risks of secondary data use apply to communities and stakeholders rather than individual data subjects. Shifting from a research ethics perspective to a public health lens brings a different set of issues into view: how are the benefits and burdens of data use distributed, how can data research empower communities, who has legitimate decision‐making capacity? I propose that a public health ethics framework – based on public benefit, proportionality, equity, trust and accountability – provides more appropriate tools for assessing the ethical uses of health data. The main advantage of a public health approach for data research is that it is more likely to foster debate about power, justice and equity and to highlight the complexity of deciding when data use is in the public interest. (shrink)

In this article we explore the role of data custodians in establishing and maintaining social licence for the use of personal information in health research. Personal information from population‐level data collections can be used to make significant contributions to health and medical research, but this use is dependent on community acceptance or a social licence. We conducted semi‐structured interviews with data custodians across Australia to better understand data custodians’ views on their roles and responsibilities. This inductive, thematic analysis of the (...) interview data focuses on three factors that contribute to social licence – reciprocity, non‐exploitation and the public good. While the data custodians interviewed did not explicitly frame their role in the context of social licence, their descriptions of their roles and responsibilities clearly indicated that they did have some role to play in building and maintaining social licence. (shrink)

The development of genomics has dramatically expanded the scope of genetic research, and collections of genetic biosamples have proliferated in countries with active genomics research programs. In this essay, we consider a particular kind of collection, national biobanks. National biobanks are often presented by advocates as an economic ‘‘resource’’ that will be used by both basic researchers and academic biologists, as well as by pharmaceutical diagnostic and clinical genomics companies. Although national biobanks have been the subject of intense interest in (...) recent social science literature, most prior work on this topic focuses either on bioethical issues related to biobanks, such as the question of informed consent, or on the possibilities for scientific citizenship that they make possible. We emphasize, by contrast, the economic aspect of biobanks, focusing specifically on the way in which national biobanks create biovalue. Our emphasis on the economic aspect of biobanks allows us to recognize the importance of what we call clinical labor—that is, the regularized, embodied work that members of the national population are expected to perform in their role as biobank participants—in the creation of biovalue through biobanks. Moreover, it allows us to understand how the technical way in which national biobanks link clinical labor to databases alters both medical and popular understandings of risk for common diseases and conditions. (shrink)